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Join the UK’s Number One Fitness Brand!\n Are you ready to take your career to the next level? Become a Personal Trainer / Fitness Coach at PureGym, the favorite gym for fitness enthusiasts across the UK! \n Why Choose PureGym? \n As a self-employed Personal Trainer at PureGym, you’ll enjoy incredible benefits, including: \n\n • Keep 100% of Your Earnings: Your first month is rent-free!\n, • Access to the Largest Member Base: Connect with thousands of potential clients.\n, • Exclusive App: Utilize industry-leading content tailored just for you.\n, • Free Education: CIMSPA accredited courses and unlimited access to business resources.\n, • Fitness Discounts: Enjoy exclusive offers available only to PureGym Personal Trainers.\n, • Mentorship Opportunities: Participate in free webinars, podcasts, and our mentoring lab.\n, • Wellness Package: Access online GP services, counseling, physiotherapy, and financial guidance.\n, • PT Support: Benefit from 5 free guest passes per month, lead generation workshops, and PT taster sessions.\n, • Advertising: Get free promotion on our website, social media, and in-club.\nBenefits as a Fitness Coach\n As a Fitness Coach, you’ll enjoy: \n\n • Contracted Salary: Guaranteed 12 hours per week.\n, • Annual Leave: Plus a personal day off!\n, • Free Gym Membership: For you and a friend or family member.\n, • Employee Assistance Programme: Support when you need it.\n, • Pension Scheme: Secure your future.\n, • Discounted Legal Services: Because we’ve got your back.\n, • Enhanced Maternity & Paternity Leave: Family comes first.\n, • Funded First Aid Qualification: Be prepared for anything.\n, • Career Development: Management training programs and continual upskilling opportunities.\nYour Role as a Fitness Coach\n In this exciting role, you’ll be instrumental in ensuring our members have a safe and enjoyable experience. Your responsibilities will include: \n\n • Delivering exceptional member experiences.\n, • Teaching classes and conducting inductions.\n, • Maintaining the gym floor to ensure a welcoming environment.\nWhat We’re Looking For\n If you’re passionate about fitness and wellbeing, and embody the spirit of “Feel PureGym Good,” we want to hear from you! Here’s what you need: \n\n • A Level 3 Personal Trainer qualification.\n, • A genuine enthusiasm for helping others achieve their fitness goals.\n\n Ready to Start Your Journey? Apply today and take the first step towards an inspiring career with PureGym! About Us\n The PureGym Group is a global leader in the fitness industry, boasting over 700 gyms and more than 2 million members. Our mission is simple: to help you feel good. \n We pride ourselves on our supportive and diverse workplace culture, championing internal progression and providing an excellent employee experience. As a Disability Confident Committed employer, we ensure that all candidates who meet the essential criteria are given the opportunity to interview. \n Join us in creating friendly, supportive, and judgment-free spaces where everyone can work out and leave feeling PureGym Good. We are proud to be certified by the Top Employers Institute!

Entity: Technology Job Family Group: IT&S Group Job Description: Equal Opportunity Employer bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field — developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value. You will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities — translating complex scientific and business problems into deployable ML products. Key Responsibilities • Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability)., • Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products — not limited to experimentation but extending through to production delivery and operational use., • Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains., • Translate complex scientific and business problems into well-scoped ML solutions, delivering actionable insights and deployable capabilities., • Architect and optimise ML systems for performance, scalability, and reliability in production environments., • Collaborate closely with data scientists, data engineers, software engineers, and domain authorities as part of cross-disciplinary teams., • Adhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation)., • Present technical results, trade-offs, and product outcomes to peers and senior partners., • Actively supply to improving developer velocity, engineering standards, and shared tooling., • Mentor junior team members and chip in to the technical growth of the wider team. Qualifications Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline)., • Hands-on experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments., • Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions., • Applied knowledge of data science and ML tools across all stages of the data and model lifecycle., • Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing., • Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++)., • Advanced SQL knowledge., • Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring., • Knowledge of experimental design, analysis, and scientific methodology., • Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail., • Strong partner management and ability to influence across teams and organisations., • Continuous learning and improvement mentality. Desired • Experience with big data technologies (e.g. Hadoop, Hive, Spark)., • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration frameworks., • Experience applying machine learning and AI to scientific or R&D workflows — with emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models)., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies., • Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI., • No prior experience in the energy industry required. What We Offer • Competitive compensation and benefits package., • Opportunity to work on innovative ML and AI problems at global scale., • A culture that values scientific rigour, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please note that the business title for this role, which will be reflected in the employment contract, is Senior Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: People, Culture & Communications Job Family Group: HR Group Job Description: We are seeking a highly experienced and strategic M&A Partner to lead and execute Mergers & Acquisitions initiatives for BP International Limited. This role will drive significant organizational change, foster cultural integration, and contribute to long-term strategic growth. • Lead separartion and integration phases of M&A transactions, • Apply Agility core practices to M&A processes, ensuring efficient and adaptable execution., • Conduct comprehensive analytical thinking and due diligence to assess potential targets and identify risks and opportunities., • Develop and implement strategies for culture and behavior change within acquired entities and across the integrated organization., • Champion customer-centric thinking throughout M&A activities, ensuring value preservation and enhancement for our customer base., • Drive employee engagement initiatives during and after M&A, addressing workforce concerns and fostering a positive and productive environment., • Facilitate complex discussions and negotiations with internal and external stakeholders, including senior leadership, legal teams, and target company representatives., • Influence key decision-makers and stakeholders to secure buy-in and alignment on M&A strategies and integration plans., • Utilize Leadership Assessment methodologies to evaluate leadership capabilities within target companies and plan for effective integration., • Proactively lead change associated with M&A, developing communication plans and support structures for affected employees., • Effectively manage workforce concerns arising from M&A activities, ensuring fair and transparent processes., • Develop and maintain sophisticated financial models and analyses using Microsoft Excel to support M&A valuations and projections., • Contribute to organizational development through strategic M&A, enhancing capabilities and market position., • Leverage deep Organizational Knowledge and the energy sector to identify synergistic opportunities., • Actively participate in shaping strategy for future growth and market expansion through M&A., • Demonstrable expertise in Agility core practices within a corporate environment., • Exceptional Analytical Thinking skills, with a proven ability to interpret complex data and make informed decisions., • Outstanding Communication skills, both written and verbal, with the ability to convey complex information clearly and concisely to diverse audiences., • Significant experience in leading Culture and behavior change initiatives., • A strong commitment to Customer centric thinking in all strategic endeavors., • Proven track record in driving Employee Engagement during periods of organizational change., • Highly skilled in Facilitation, capable of leading productive discussions and workshops., • Expertise in Influencing and negotiating at senior levels., • Experience with Leadership Assessment methodologies and their application., • Extensive experience in Managing change within large, complex organizations., • Demonstrated ability to effectively manage workforce concerns during periods of transition., • Advanced proficiency in Microsoft Excel for financial modeling and data analysis., • Strong background in Organizational development principles and their application., • Deep Organizational Knowledge of the energy industry or a related sector., • Proven ability to contribute to and lead efforts in Shaping strategy for business growth. Please note that this role will move to brand-new offices in Timber Square, Southwark around Q4 2027. We’re committed to supporting leaders who want to make an impact. At bp, you’ll have the chance to shape and influence outcomes across businesses. You’ll be part of an inclusive environment where diverse perspectives are valued, and where your contribution to performance and integration matters. We invest in the growth and wellbeing of our people, providing the resources, networks, and development opportunities needed to thrive. Our total rewards package includes competitive pay, bonuses, share options, and a range of flexible benefits designed to meet your needs — from healthcare and retirement plans to paid time off and agile working. We recognise that people have multifaceted lives, and we strive to offer a career experience that reflects that! Apply now!! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, Analytical Thinking, Coaching, Communication, Creativity and Innovation, Culture and behaviour change, Curiosity, Customer centric thinking, Data Analysis, Data cleansing and transformation, Decision Making, Digital Fluency, Employee and labour relations (Inactive), Employee Engagement, Employee Experience, Facilitation, Global Perspective, Influencing, Job Design, Leadership Assessment, Leading transformation, Managing change, Managing workforce concerns, Microsoft Excel {+ 12 more} . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are crucial to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. We are seeking an exceptional Expert Data Scientist to serve as a technical leader and architect of machine learning systems across the organisation. This is the highest individual contributor tier within the field — a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML products that span the journey from research and experimentation through to solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products — bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers, and drive step-change impact across business-critical, scientific, and R&D domains. • Provide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation., • Own end-to-end delivery of complex ML solutions — from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery., • Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products., • Bridge the gap between scientific research and enterprise deployment — taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value., • Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines., • Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams., • Lead complex, multi-team technical initiatives and influence organisational direction through technical authority., • Evaluate and integrate emerging approaches — including generative AI, Agentic AI, advanced optimisation, and scientific computing — into scalable solutions., • Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities., • Mentor senior engineers and data scientists, raising the technical bar across the subject area., • Partner with business and scientific customers to shape ML strategy and identify high-value opportunities., • Present technical strategies, architectural decisions, and outcomes to senior leadership. Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area)., • Hands-on experience designing, prototyping, productionizing, and scaling complex ML systems in production environments., • Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing — with a consistent record of applying these to deliver production-grade products., • Strong software engineering and system design expertise, including distributed systems, scalable architectures, and API design., • Advanced programming experience in languages such as Python, Go, Java, or C++., • Advanced SQL knowledge., • Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring., • Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop)., • Knowledge of experimental design, scientific methodology, and analysis., • Strong partner management and confirmed ability to influence large organisations without direct authority., • Demonstrated ability to lead through technical excellence and deliver high-impact, organisation-wide outcomes., • Continuous learning and improvement approach., • Deep experience in applied machine learning science — including developing novel algorithms and translating research into deployable, production-grade ML products., • Experience applying AI/ML to scientific, engineering, or R&D workflows — encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows., • Strong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production., • Experience designing or deploying Agentic AI systems — including autonomous agents, tool use, multi-agent orchestration, reasoning workflows, and agent-driven scientific discovery., • Consistent record of innovation through publications in peer-reviewed venues, invention disclosures (IDFs), patents, or open-source contributions in machine learning or AI., • Experience building ML platforms, reusable scientific computing frameworks, or internal tooling that accelerates delivery across teams., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental frameworks., • No prior experience in the energy industry required., • Competitive compensation and benefits package., • Opportunity to lead and shape the future of ML and AI at one of the world's largest energy companies., • A culture that values scientific difficulty, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please remember that the business title for this role, which will be reflected in the employment contract, is Staff Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

About Us Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response. Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies — including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats. Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at _. About the Role We’re looking for a Senior Software Engineer who cares deeply about building high-quality products - not just testing them after the fact. In this role, you’ll help shape how quality is engineered into our products from day one, working across software development, automation, and modern testing practices. This role includes a blend of hands-on testing and automation. You’ll design systems, build tooling, and dive into manual testing where it adds the most value - all while helping the team deliver reliable software at scale. We’re exploring how AI can meaningfully improve quality engineering beyond code assistants, and you’ll have the opportunity to shape that journey in a practical, grounded way. This is an area we’re actively evolving, not a fully mature capability today. If you enjoy solving real engineering problems, improving how teams build software, and taking a pragmatic approach to quality, this role will give you the space to do it. Engineering Quality into the Product • Partner with engineers, product managers, and designers to build quality into features from the start - not bolt it on at the end., • Contribute directly to product code where it improves reliability, testability, and observability., • Help shape system design decisions to reduce defects before they happen. Building Scalable Test & Automation Systems • Design and implement robust, maintainable automation across API, integration, and UI layers., • Evolve our testing approach using modern engineering practices - focusing on fast feedback, meaningful and reliable results, and developer productivity., • Improve CI/CD pipelines so quality checks are fast, reliable, and genuinely useful (not just gates). Exploring AI-Driven Engineering • Experiment with AI to improve how we test and validate software - from intelligent test generation, smarter failure analysis and self-healing approaches., • Build or integrate tools that reduce manual effort and increase confidence in releases. Raising the Bar for Engineering • Help establish a strong, pragmatic quality culture that developers actually value., • Ensure quality is a shared responsibility across the team, not owned by a single individual., • Share ideas, mentor others, and contribute to how we continuously improve as a team., • Influence engineering practices beyond your immediate team., • Strong software engineering experience (JavaScript, TypeScript, or similar)., • A track record of building or improving automated testing in real-world systems., • Experience working in modern development environments with CI/CD and cloud platforms., • A practical mindset: you care about outcomes, not just frameworks or theory., • Hands-on experience applying AI within quality engineering or testing contexts - for example, test generation, failure analysis, test optimisation, or similar., • Ability to go beyond basic coding assistants and use AI to solve real testing or quality problems in innovative ways., • Experience working on security or high-reliability systems., • Exposure to performance or security testing., • Contributions to engineering communities, blogs, or open source., • Engineers move faster with more confidence because quality is built into their workflow., • Testing provides fast, meaningful feedback - not noise., • AI-driven approaches reduce manual effort and uncover issues earlier., • The team sees quality as an enabler, not a bottleneck., • You’ll be treated as a software engineer first, not a gatekeeper., • You’ll have room to experiment with new ideas, including AI, and turn them into real impact., • You’ll influence how software is built - not just how it’s tested. Ready to Join Us? At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply. What's Great About Sophos? · Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship. · Our people – we innovate and create, all of which are accompanied by a great sense of fun and team spirit · Employee-led diversity and inclusion networks that build community and provide education and advocacy · Annual charity and fundraising initiatives and volunteer days for employees to support local communities · Global employee sustainability initiatives to reduce our environmental footprint · Global fitness and trivia competitions to keep our bodies and minds sharp · Global wellbeing days for employees to relax and recharge · Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To You We’re proud of the diverse and inclusive environment we have at Sophos, and we’re committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data Protection If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos’ data protection practices, please consult our Privacy Policy _We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Recruitment Crowd is currently recruiting on behalf of our well-known and industry-leading client based in the Hayes area. We are looking for multiple HGV Class 2 Drivers (CAT C) to join the team. Hours: Monday to Friday, start times between 5am-9am (approximately 8-hour shifts on average) with occasional weekend availability. Pay Rate: £19.23 per hour Location: Hayes, UB3. Job Type: Temporary to permanent. The role: Collect clinical waste from various healthcare facilities, including care homes and hospitals. Prepare the vehicle for daily operations. Utilise a compaction vehicle for waste disposal. Perform local collections, wheeling bins to the back of the truck, and operating the bin pick-up mechanism. Use a PDA for tracking and recording collections. Depending on the volume, complete 35 to 60 collections during your shift. Maintain physical fitness, as the role involves some heavy lifting. Requirements: Full UK driving licence with Class 2 entitlement (category C). Have at least 6 months of experience driving the relevant vehicle. Valid and in date DCPC and Digital Tachograph card. No more than 6 points on licence (minor offences only). Full understanding of WTD legislation. Strong work ethic and commitment to safety. Willingness to learn and adapt to our waste management processes. Availability for early morning shifts and occasional weekend work. Ability to work in a team and communicate effectively. Physical fitness and capability to handle waste containers. For more information, please apply directly with a copy of your CV today and a member of our team will be in touch TPBN1_UKTJ

Keep 100% of your PT earnings, your first month is rent free. you will have access to the largest member base in the UK, plus: • You will have access to an exclusive app with industry leading content., • Free education and CIMSPA accredited courses all bespoke to PureGym, with unlimited access to business resources., • Access to the best fitness discounts exclusive to PG Personal Trainers., • Free Webinars, podcasts and access to our mentoring lab – you can be mentored on all aspects of your business., • Wellness package – Online GP, counselling sessions, Physio sessions & Financial guidance., • PT Support – 5x free guest passes per month, lead generation workshops, PT open week for you to generate leads & PT taster sessions on the timetable for members to discover you., • Full rent transition programme delivered by master trainers., • Free advertising on the PureGym website, social media and in club, • Contracted salary, guaranteed 12 hours per week., • Annual leave allowance, plus a personal day off., • Free Gym Membership for yourself and a friend or family member, • Employee Assistance Programme, • Pension Scheme, • Discounted legal services, • Enhanced maternity & paternity leave, • Funded First Aid qualification., • Career development with management training programmes, • Group Exercise initial training and continual upskill opportunities. you will play a key part in the safe enjoyment of our gyms, delivering an amazing member experience, teaching classes, inductions, and taking care of the upkeep of the gym floor. • A passion for fitness and wellbeing, • Someone who embodies ‘Feel PureGym good’ in all that they do. The PureGym Group is a global gym business with a community of more than 700 gyms and over 2 million members. At PureGym, everything we do comes back to one simple idea: helping you feel good. We’re proud of our people and have a strong focus on internal progression. Championing diversity, we are committed to providing an excellent employee experience and workplace culture. As such, we are a Disability Confident Committed employer, and offer interviews to candidates who meet the essential criteria for a role, and opt-in to the scheme on their application form. Our gyms are friendly, supportive, and judgement-free spaces where everybody can come in, work out and leave Feeling PureGym Good. We are proud to be certified byTop Employers Institute. Join us on our mission to inspire a healthier nation. #J-18808-Ljbffr

We’re more than just a nursery group. We’re the UK’s most innovative early-years education provider. At N Family Club, we dreamed of reimagining early years education. Becoming a place that fosters creativity, embraces a curriculum-led approach, and prepares children for the modern world. We’re proudly making our dream a reality – and we want you to be a part of it! As an Assistant Educator at N Family, you’ll support your team in creating an inspirational environment that delivers the best care and education – guiding every child to dream big, think independently, and explore the world with confidence. In our fast-paced, ever-evolving nursery, you'll learn from experienced educators, understand the different needs of all the children in your care, and help bring our N Curriculum to life as you grow and develop in your role. • Deliver our ‘learning through play’ ethos and our N Curriculum with care and flair., • Follow our daily routine and ensure smooth transitions from mealtimes to naptimes to playtimes., • Support the planning of innovative, challenging learning experiences that encourage child development., • Support with high-quality observations, assessments, and planning for key children., • Help supervise mealtimes in line with N’s safety policies., • Complete daily health & safety checks thoroughly, escalating concerns where needed., • Build strong, trusting relationships with parents., • Embed all policies and procedures into your daily practice., • Make sure every area is kept clean and tidy throughout the day., • Help with day-to-day tasks that keep the nursery running smoothly., • You don’t need previous experience in a similar role, just a genuine passion for education and changing the lives of children!, • The drive to complete your full induction and take up opportunities for further training and development, including Paediatric First Aid, Safeguarding and Child Protection, and the opportunity to gain a Level 2/Level 3 Early Years qualification., • A positive, glass-half-full outlook., • Bags of drive and motivation with a ‘make it happen’ attitude!, • A love for customer service., • High energy for every task you take on., • Competitive salary – £26,437 - £26,957 per annum, • Performance bonus – Up to £750 annually., • Flexible working – Choose 4-5 days a week for a work-life balance that suits you., • Industry-leading holiday allowance – Up to 35 days, including a personal ‘Me’ day and Christmas closure., • Development fund – £100 annual learning fund, plus paid N Academy training (level 3, EY Degrees, Forest School & more)., • No uniforms – £100 clothing allowance for style freedom!, • Family-friendly – Enhanced parental/fostering/neonatal leave after 2 years., • Childcare – 40% discount, plus 6 emergency days annually., • Loyalty rewards – 5-year bonus: around-the-world trip + 2 bonus weeks off. 10-year bonus: “Out of this world” experience + 2 more weeks off!, • Referral scheme – Earn up to £1000 per successful hire., • Amazing discounts – Save on groceries, shopping, fitness, and more., • Travel support – Season ticket loans and cycle-to-work scheme., • Socials & Wellbeing – Annual parties, team events, gym discounts, and online fitness., • And much, much more! Join our fantastic team at this brand-new 127-place nursery in the heart of Kingston-upon-Thames, South West London. Getting here is a breeze! Just a short walk from Richmond Park and Kingston train station, making your commute as scenic as it is simple. At N Family Club, we’re reimagining early years education – and we want you to be a part of it. We’re a certified Great Place to Work and one of the UK’s most innovative early years groups. With top salaries, unmatched benefits, and real career progression, we put our people first. Join us today to spark big ideas in young minds and shape a career you’ll love! #J-18808-Ljbffr

Be the reason guests feel welcome, calm, and cared for. Holiday Inn London - Heathrow M4,jct.4 Be the reason guests feel welcome, calm, and cared for. At LGH, we believe great hospitality is about how people feel. As a Guest Experience Champion, you’ll be the heartbeat of the guest journey—blending front office care with retail confidence and barista flair to create effortless, memorable stays from lobby to latte. Our contemporary lobby is designed for a smooth, flexible experience, combining mobile check-in, digital keys and self-service kiosks with a dedicated reception area for more complex needs (crew, groups, delayed flights). The wider space includes a Starbucks offering, a retail shop and relaxed lounge areas—a welcoming hub where guests can work, unwind and socialise. • Champion seamless arrivals: Support mobile check-in and kiosks, troubleshoot calmly, keep the lobby flowing., • Lead at reception: Deliver warm welcomes, smooth departures, and fast, empathetic issue resolution., • Bring Starbucks energy: Prepare great-quality drinks with pace, personality and brand standards., • Run a vibrant shop floor: Keep displays inviting, shelves stocked, support self-checkout and highlight offers., • Turn moments into memories: Anticipate needs, personalise interactions, recover service with grace., • Be the local knowledge hub: Share transport tips, hotspots and mini itineraries to match each guest’s vibe., • Keep standards high: Maintain cleanliness, food safety, and health & safety across reception, café and retail zones., • Work as one team: Coordinate with housekeeping, maintenance and F&B to keep the experience seamless., • Own feedback loops: Encourage reviews, capture insights and help improve the guest journey., • You may also support other hotel areas when needed — teamwork is part of the role., • Our enviable employee discounts on bedroom rates across the LGH hotel portfolio., • Access to the IHG employee room benefit programme across their global portfolio. (T&Cs apply)., • Shopping discounts - ranging from groceries, fashion, travel, utilities, days out, and even holidays., • Eye care, • Free legal & money advice, • Counseling sessions, • Hospital & death benefit plans, • Cycle to work scheme, • Wellbeing tips and support fitness videos, • Recipe ideas, • Advice on keeping active and healthy living, • Wellbeing podcasts and tv, • Breathing exercises, • 24/7 advice and support line, • Team reward & recognition, • Free meals on duty, • Free parking, • A natural host mindset: warmth, patience and genuine curiosity about people, • Calm under pressure during peak check-in and morning coffee rushes, • Clear, friendly communication and a solution-focused approach, • Great attention to detail (from key cards to coffee presentation), • Confidence with tech: apps, kiosks and digital payments, • Retail instincts: presentation, stock rotation and subtle upselling, • Flexibility for a rotating schedule (early starts, evenings, weekends, holidays) Front desk, barista or retail experience is a bonus — attitude and care come first. Perfectly positioned moments from Heathrow Airport and with excellent links into Central London, Holiday Inn London Heathrow M4J4 is set to make an exciting return in September 2026. Following an extensive transformation, the hotel will reopen as a vibrant, contemporary destination for business travellers, holidaymakers, airline crews, conferences, and local guests alike. With stylish guest rooms, versatile meeting and event spaces, welcoming food and beverage venues, and the trusted Holiday Inn brand behind it, the hotel is poised to become one of Heathrow’s leading hospitality destinations. More than just a hotel, this is a relaunch with ambition—creating memorable guest experiences while building a team culture centred on collaboration, development, and pride in delivering exceptional hospitality. Looking for an exciting career in the hospitality industry? Look no further than LGH Hotels Management! With a growing portfolio of 42 hotels throughout the UK, including globally recognised brands such as Crowne Plaza, Holiday Inn, and Best Western, all located in prime locations, we are the premier destination for those seeking a fulfilling career in hospitality. Join our dynamic team and be a part of shaping the future of the UK hospitality industry. #J-18808-Ljbffr

Entity: Technology Job Family Group: IT&S Group Job Description: Equal Opportunity Employer bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field — developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value. You will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities — translating complex scientific and business problems into deployable ML products. Key Responsibilities • Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability)., • Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products — not limited to experimentation but extending through to production delivery and operational use., • Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains., • Translate complex scientific and business problems into well-scoped ML solutions, delivering actionable insights and deployable capabilities., • Architect and optimise ML systems for performance, scalability, and reliability in production environments., • Collaborate closely with data scientists, data engineers, software engineers, and domain authorities as part of cross-disciplinary teams., • Adhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation)., • Present technical results, trade-offs, and product outcomes to peers and senior partners., • Actively supply to improving developer velocity, engineering standards, and shared tooling., • Mentor junior team members and chip in to the technical growth of the wider team. Qualifications Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline)., • Hands-on experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments., • Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions., • Applied knowledge of data science and ML tools across all stages of the data and model lifecycle., • Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing., • Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++)., • Advanced SQL knowledge., • Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring., • Knowledge of experimental design, analysis, and scientific methodology., • Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail., • Strong partner management and ability to influence across teams and organisations., • Continuous learning and improvement mentality. Desired • Experience with big data technologies (e.g. Hadoop, Hive, Spark)., • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration frameworks., • Experience applying machine learning and AI to scientific or R&D workflows — with emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models)., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies., • Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI., • No prior experience in the energy industry required. What We Offer • Competitive compensation and benefits package., • Opportunity to work on innovative ML and AI problems at global scale., • A culture that values scientific rigour, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please note that the business title for this role, which will be reflected in the employment contract, is Senior Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees' lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. JBRP1_UKTJ